Application of machine learning and deep learning methods to power system problems:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2021]
|
| Schriftenreihe: | Power systems
|
| Schlagworte: | |
| Beschreibung: | ix, 391 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030776985 9783030776954 |
Internformat
MARC
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| 245 | 1 | 0 | |a Application of machine learning and deep learning methods to power system problems |c Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi, editors |
| 264 | 1 | |a Cham, Switzerland |b Springer |c [2021] | |
| 300 | |a ix, 391 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Power systems | |
| 650 | 4 | |a Power Electronics, Electrical Machines and Networks | |
| 650 | 4 | |a Energy Systems | |
| 650 | 4 | |a Machine Learning | |
| 650 | 4 | |a Energy Policy, Economics and Management | |
| 650 | 4 | |a Power electronics | |
| 650 | 4 | |a Energy systems | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Energy policy | |
| 650 | 4 | |a Energy and state | |
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 700 | 1 | |a Nazari-Heris, Morteza |d 1993- |0 (DE-588)1242933115 |4 edt | |
| 700 | 1 | |a Asadi, Somayeh |4 edt | |
| 700 | 1 | |a Mohammadi-Ivatloo, Behnam |0 (DE-588)1257238620 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-77696-1 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033910328 | ||
Datensatz im Suchindex
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| building | Verbundindex |
| bvnumber | BV048533646 |
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| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.317 |
| dewey-search | 621.317 |
| dewey-sort | 3621.317 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV048533646 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:53:03Z |
| indexdate | 2024-07-10T09:40:47Z |
| institution | BVB |
| isbn | 9783030776985 9783030776954 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033910328 |
| oclc_num | 1362882102 |
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| owner_facet | DE-29T |
| physical | ix, 391 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer |
| record_format | marc |
| series2 | Power systems |
| spelling | Application of machine learning and deep learning methods to power system problems Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi, editors Cham, Switzerland Springer [2021] ix, 391 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Power systems Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state (DE-588)4143413-4 Aufsatzsammlung gnd-content Nazari-Heris, Morteza 1993- (DE-588)1242933115 edt Asadi, Somayeh edt Mohammadi-Ivatloo, Behnam (DE-588)1257238620 edt Erscheint auch als Online-Ausgabe 978-3-030-77696-1 |
| spellingShingle | Application of machine learning and deep learning methods to power system problems Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state |
| subject_GND | (DE-588)4143413-4 |
| title | Application of machine learning and deep learning methods to power system problems |
| title_auth | Application of machine learning and deep learning methods to power system problems |
| title_exact_search | Application of machine learning and deep learning methods to power system problems |
| title_exact_search_txtP | Application of machine learning and deep learning methods to power system problems |
| title_full | Application of machine learning and deep learning methods to power system problems Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi, editors |
| title_fullStr | Application of machine learning and deep learning methods to power system problems Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi, editors |
| title_full_unstemmed | Application of machine learning and deep learning methods to power system problems Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi, editors |
| title_short | Application of machine learning and deep learning methods to power system problems |
| title_sort | application of machine learning and deep learning methods to power system problems |
| topic | Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state |
| topic_facet | Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state Aufsatzsammlung |
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